collaborators

13 papers

cs.CL2026

VetScore: Risk-Weighted Fact Verification for Veterinary Long-Form QA with Citations

Ivan Kartáč, Ivan Kartáč, Jan Tovarys +3

Citation excerpts can be used to increase the reliability of generated outputs and their faithfulness to cited sources, which is especially important in high-stakes domains such as…

cs.CL2026

Strategies for Span Labeling with Large Language Models

Danil Semin, Ondřej Dušek, Zdeněk Kasner

Large language models (LLMs) are increasingly used for text analysis tasks, such as named entity recognition or error detection. Unlike encoder-based models, however, generative ar…

cs.CL2026

Can LLM Coding Agents Reason About Time Series?

Filip Rechtorík, Ondřej Dušek, Zdeněk Kasner

Large language models (LLMs) are increasingly being used for automated decision-making systems in finance, healthcare, or environmental monitoring. Time series data are ubiquitous…

cs.CL2026

Modular Monolingual Adaptation using Pretrained Language Models

Nalin Kumar, Ondřej Dušek

Building monolingual language models (LMs) for low-resource languages typically relies on adapting pretrained language models (PLMs) by finetuning the whole model on the target lan…

cs.CL2026

AnimatedLLM: Explaining LLMs with Interactive Visualizations

Zdeněk Kasner, Ondřej Dušek

Large language models (LLMs) are becoming central to natural language processing education, yet materials showing their mechanics are sparse. We present AnimatedLLM, an interactive…

cs.CL2025

LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators

Mateusz Lango, Ondřej Dušek

We present a novel neurosymbolic framework for RDF-to-text generation, in which the model is "trained" through collaborative interactions among multiple LLM agents rather than trad…